Senior SAP Data & Analytics Engineer
Коротко
Senior SAP Data & Analytics Engineer (Datasphere, Business Data Cloud, Fabric) needed ASAP in Lisbon. Responsibilities include designing data models, building pipelines, integrating SAP data, and developing analytical datasets. Requires 5+ years of data engineering/analytics experience with SAP Datasphere, S/4HANA integration, and SQL. Experience with Databricks/Microsoft Fabric is a plus.
Стислий виклад підготував ШІ на основі тексту оголошення.
Role: Senior SAP Data & Analytics Engineer (Datasphere, Business Data Cloud & Fabric)
Start: ASAP and latest 01.11.26Location: Onsite work required in LisbonAs a Senior SAP Data & Analytics Engineer, you will leverage your expertise in SAP Datasphere, Business Data Cloud, SAP Analytics Cloud, Databricks, Microsoft Fabric, and Power BI to transform complex data into reliable, business-ready products that facilitate reporting, planning, and advanced analytics across the organization.
Main Responsibilities:
Design and implement data models and data products in SAP Datasphere
- Build and optimize cloud-native data pipelines from SAP S/4HANA and other data sources
- Integrate SAP data into broader cloud data platforms like Databricks and Microsoft Fabric
- Develop analytical datasets for SAP Analytics Cloud (SAC) and Power BI
- Ensure high data quality, consistency, and governance across SAP and enterprise data
- Collaborate with business stakeholders to translate requirements into scalable data solutionsKey Requirements:5+ years of experience in data engineering, analytics engineering, or SAP data modeling
- Strong hands-on experience with SAP Datasphere and Business Data Cloud
- Experience in integrating data from SAP S/4HANASolid understanding of SAP data models (FI/CO, SD, MM, etc.)
Strong SQL skills and understanding of data transformation logic
Experience in modern cloud data ecosystems (e.g., Databricks, Microsoft Fabric, Azure)
Nice to Have:
Experience with SAP Business Data Cloud or similar cloud integration frameworks
Hands-on experience with Databricks (Spark, Delta Lake) or Microsoft Fabric
Experience with end-to-end data pipelines beyond SAP (ELT/ETL frameworks)
Familiarity with Lakehouse architecture and medallion design patterns
Experience with data governance and master data (e.g., SAP MDG/MDQ)
Knowledge of planning processes (finance or supply chain)
Please apply if you meet the requirements and are ready to make an impact in a dynamic role.
| Опубліковано | 2026-10-16 |
| Діє до | 2027-01-14 |
| Джерело |
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